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Codestral-22B vs GPT-4o mini

Codestral-22B and GPT-4o mini are closely matched at 0.2 and 3.9 on the LLM Stats Score.

Mistral AI · OpenAI · Updated for 2026

Which is better?

Codestral-22B and GPT-4o mini are closely matched on the overall LLM Stats Score at 0.2 and 3.9.

In the 1 individual benchmarks reported for both models, GPT-4o mini wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you need open weights you can self-host or fine-tune

Choose GPT-4o mini

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Core performance indexes
0.2
#313
3.9
#294
0.1
#306
4.3
#284
2.5
#217
-0.4
#235
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
128,000

Individual benchmarks

7 reported for Codestral-22B · 9 for GPT-4o mini

1 shared

Codestral-22B outperforms in 0 benchmarks, while GPT-4o mini is better at 1 benchmark (HumanEval).

GPT-4o mini significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4o mini supports multimodal inputs, whereas Codestral-22B does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while GPT-4o mini uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while GPT-4o mini was released on 2024-07-18.

GPT-4o mini is 2 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

GPT-4o mini

Jul 18, 2024

2.1 years ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Codestral-22B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

GPT-4o mini

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Codestral-22B and GPT-4o mini side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
GPT-4o mini
Open in Playground

FAQ

Common questions about Codestral-22B vs GPT-4o mini.

Which is better, Codestral-22B or GPT-4o mini?

Codestral-22B and GPT-4o mini are closely matched on the LLM Stats Score at 0.2 and 3.9. Codestral-22B is made by Mistral AI and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to GPT-4o mini in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

What are the context window sizes for Codestral-22B and GPT-4o mini?

Codestral-22B supports an unknown number of tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and GPT-4o mini?

Key differences include LLM Stats Score (0.2 vs 3.9), multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and GPT-4o mini?

Codestral-22B is developed by Mistral AI and GPT-4o mini is developed by OpenAI.